Logistic regression is a classification algorithm, used when the value of the target variable is categorical in nature. Just like Linear regression assumes that the data follows a linear function, ...

This article shows you how to create a classification model with Python and Sklearn in Azure Databricks and save/load the model by using Pickle library. We model the loan application as a two-class ...

The classifier object is named model and is instantiated by setting up its parameters as a Python Dictionary collection named params. The main challenge when using LightGBM is wading through the ...

I will keep it light on Python code to make it practical to ... We will practice by building a classification model trained in news articles from the BBC. We will test the model on news headlines ...

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...

Many Python modules offer methods and tools for interpreting models. Here are five to examine ... residual plots, classification reports and more. As a result of Yellowbrick’s seamless ...

Using a text classification model trained on historical data, enterprises can automatically categorize incoming emails, reducing manual effort and improving efficiency. Beyond categorization ...